MONGA , GEISLER , AND EVANS : HUMAN VISUAL SYSTEM MODELS 1 Linear , Color Separable , Human Visual System Models for Vector Error

|Image halftoning converts a high-resolution image to a low-resolution image, e.g. a 24-bit color image to a three-bit color image, for printing and display. Vector error di usion captures correlation among color planes by using an error lter with matrix-valued coe cients. In optimizing vector error lters, Damera-Venkata and Evans transform the error image into an opponent color space where Euclidean distance has perceptual meaning. This paper evaluates color spaces for vector error lter optimization. In order of increasing quality, the color spaces are YIQ, YUV, opponent (by Poirson and Wandell), and linearized CIELab (by Flohr, Kolpatzik, Balasubramanian, Carrara, Bouman, and Allebach). Keywords|Color image display, color quantization, image quality, multi lters